Promise of a low power mobile CPU based embedded system in artificial leg control
- Resource Type
- Conference
- Authors
- Hernandez, Robert; Zhang, Fan; Zhang, Xiaorong; Huang, He; Yang, Qing
- Source
- 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. :5250-5253 Aug, 2012
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Embedded systems
Support vector machines
Feature extraction
Mobile communication
Accuracy
Hardware
Real-time systems
Neural-machine interface
real-time system
embedded system
support vector machine
control of artificial limbs
- Language
- ISSN
- 1557-170X
1094-687X
1558-4615
This paper presents the design and implementation of a low power embedded system using mobile processor technology (Intel Atom™ Z530 Processor) specifically tailored for a neural-machine interface (NMI) for artificial limbs. This embedded system effectively performs our previously developed NMI algorithm based on neuromuscular-mechanical fusion and phase-dependent pattern classification. The analysis shows that NMI embedded system can meet real-time constraints with high accuracies for recognizing the user's locomotion mode. Our implementation utilizes the mobile processor efficiently to allow a power consumption of 2.2 watts and low CPU utilization (less than 4.3%) while executing the complex NMI algorithm. Our experiments have shown that the highly optimized C program implementation on the embedded system has superb advantages over existing PC implementations on MATLAB. The study results suggest that mobile-CPU-based embedded system is promising for implementing advanced control for powered lower limb prostheses.